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Contact the study team using the details below to take part. If there are no contact details below please ask your doctor in the first instance.
Dr
Sandra
Bucci
sandra.bucci@manchester.ac.uk
Xiaolong
Zhang
xiaolong.zhang@postgrad.manchester.ac.uk
Schizophrenia, schizotypal and delusional disorders
This information is provided directly by researchers, and we recognise that it isn't always easy to understand. We are working with researchers to improve the accessibility of this information. In some summaries, you may come across links to external websites. These websites will have more information to help you better understand the study.
Conventional methods of monitoring and treating psychosis rely on patients recalling symptoms over the preceding week(s) or month(s) at a scheduled appointment time. Appointments are typically clinic based and often infrequent in over-stretched mental health services, resulting in imprecise retrospective recall of symptoms. This is problematic in a condition that requires precise, time-sensitive treatment, particularly in response to signs of emerging relapse. The challenge is to improve outcomes by delivering personalised intervention strategies when/where someone needs them most (and is most receptive to them) without adding to the workload of over-stretched mental health services or over-burdening patients themselves. Advancements in technology can help address this challenge and widespread development of digital mental health systems is underway.
The current survey study forms part of the larger NIHR Research Professorship body of work in which we aim to provide up-to-date data on digital inclusion rates to explore whether SMI patients are being left behind as a result of digital adoption. Closing the ‘digital divide’ is key to digital strategies, and it is unclear whether this divide continues in people with SMI. We also aim to identify the strengths and challenges of deploying digital health tools from both perspectives.
We aim to recruit at least 300 service users (and up to approx. 500 service users) and at least 300 staff members (and up to approx. 500 staff members) to ensure a broad range of perspectives are captured.
The survey will be predominantly conducted online, via a UoM approved online survey platform. Participants will be able to contact the researchers who will provide them with a paper copy of the questionnaires.
The survey will take approximately 20-30 minutes to complete.
Start dates may differ between countries and research sites. The research team are responsible for keeping the information up-to-date.
The recruitment start and end dates are as follows:
Observational type: Cross-sectional;
You can take part if:
You may not be able to take part if:
Not sufficiently fluent in English to complete the survey.
Below are the locations for where you can take part in the trial. Please note that not all sites may be open.
Dr
Sandra
Bucci
sandra.bucci@manchester.ac.uk
Xiaolong
Zhang
xiaolong.zhang@postgrad.manchester.ac.uk
The study is sponsored by University of Manchester and funded by NIHR Academy .
Your feedback is important to us. It will help us improve the quality of the study information on this site. Please answer both questions.
Read full details
for Trial ID: CPMS 53864
You can print or share the study information with your GP/healthcare provider or contact the research team directly.
